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‫Welcome back.

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‫I hope you have thought about how to obtain this form for our constraints, as mentioned before, you

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‫have this equation here.

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‫You know that x global tilde, it equals all that.

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‫But let's not only focus on this one here, your excellent tilde equals all that.

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‫And so how would you extract the last three elements from this vector?

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‫Well, we can use a similar matrix that we used in order to extract states that we wanted to have as

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‫outputs.

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‫For that, we used this see matrix.

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‫But now we have an augmented state vector and we want to extract different things from there.

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‫We want to extract you two zero, use three zero and you for zero.

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‫And you can do it like this.

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‫This is what you want to have.

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‫You want to have this vector.

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‫Then this vector here, that's your X1 till there.

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‫And so you want to extract this element, this element, and also this element.

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‫Therefore, you need a matrix here.

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‫And this matrix looks like this.

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‫This one here, it will extract you two zero for you.

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‫This one here it will extract you three zero for you and this one here it will extract you four zero

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‫for you.

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‫And so let's called this matrix C tilde asterisk.

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‫OK, but now you want to extract you two Q3 and Q4 from Excel, the two X2, the three and X2, the

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‫four as well.

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‫Well, how about if I do this trick?

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‫This is my ex till the global.

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‫It's this one here.

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‫If I now create this matrix here, then this is what I will have.

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‫I will have this thing here.

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‫This c till the star.

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‫That's this matrix here.

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‫So if you think about the dimensions, then this vector has three rows and one column this vector here

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‫it has nine rows and one column.

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‫And so this matrix here it has three rows and nine columns.

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‫And now I create a global C till the star like this, and it consists of these little C to the stars

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‫here.

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‫So for example, this one here, it's this one here.

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‫Three rows and nine columns.

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‫The same thing here.

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‫This one, this one and this one, all of them are the same.

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‫And of course, that also means that these zero matrices, they have three rows in nine columns.

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‫And so if you position these small seats, all the stars along the diagonal here and then you multiply

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‫this C to the Star Global by this x still that global vector.

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‫Then the result is that each predicted augment the state vector.

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‫It will be multiplied by this C tilde star matrix like this in this order.

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‫That means that you will be able to extract you two you three u four from all of these vectors.

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‫And so I'm going to name this one.

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‫Why Star Global?

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‫And so if I write it out, then this is how it looks like this one here.

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‫It's this one here, and we can call it y one star.

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‫Then this one here it will be this one here.

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‫We can call it y two star.

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‫Then this one here it will be this one here.

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‫That's why three star and finally, this one here.

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‫Well, it's going to be this one here.

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‫And let's call it y four star.

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‫And of course, this entire vector, it's this one here.

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‫So with that, you can extract all the use from all the predicted augmented state vectors.

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‫And so in a compact way, you can write it all like this y global star, which is this one here.

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‫It equals C Tilde Star Global, which is this gigantic matrix times x till their global.

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‫Which is this one here?

